This representation jointly exploits both spectral and spatial information of data. In such approaches, a pixel vector is processed based on spectral features while considering spatial-contextual information. The strategies that simultaneously use both spectral and spatial representations of HSI, either concatenate the spatial details with spectral vector [1]}, [2]} or process the \(3D\)  HSI cube to preserve the actual structure and contextual information [3]}.
